JP2004348613A - Product and service recommendation device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically prepare recommended data from obtained data and to utilize a business model especially for the sales promotion and electronic transactions of component type products as to the business model for judging which service can be realized by a product purchased and owned by a user or which products are short for the purpose of realizing a certain service and recommending suitable service or products to the user. <P>SOLUTION: The product and service recommendation device is constituted of a means for storing product data owned by users, a means for storing the specification data of products, a means for storing requirement data required for realizing service, and a means for preparing suitable recommended data from these data when a specific user is specified. Consequently data for recommending service allowed to be utilized by products which have been already stored and other products necessary for the receipt of a certain kind of service can be automatically generated and a provider for products and service can easily provide suitable advertisement to users. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to an apparatus for automatically generating recommendations for products and services via a network, and more particularly to a product and service recommendation apparatus for automatically generating recommendations for other products and services from product information already held by a user.
[0002]
[Prior art]
In this type of conventional service recommendation apparatus, it is usual to recommend a new product or service from a user's product purchase history or service use history.
[0003]
For example, in a service selection support device and a service selection support method disclosed in Japanese Patent Application Laid-Open No. 7-311799, data for recommending a discount service is automatically generated from a user's communication usage history. Alternatively, in the method and apparatus for providing a product recommendation disclosed in Japanese Patent Application Laid-Open No. 2000-148864, data for recommending a new product is automatically generated from a history of purchase or browsing by a user on an electronic commerce site.
[0004]
[Problems to be solved by the invention]
However, the product and service recommendation apparatus in the above-described conventional example recommends another product or service irrespective of the product already held by the user. As a result, it is not possible to provide appropriate recommendations to users who want to know the services that can be used with products they already have, or who want to know what other products are needed to receive certain services. There was a point.
[0005]
The present invention has been made in view of the above-described problem, and has a product that automatically generates data recommending other products necessary for receiving a certain service or a service that can be used for a product already held, and It is intended to provide a service recommendation device.
[0006]
[Means for Solving the Problems]
In order to solve the above-described problems, the product and service recommendation device of the present invention includes:
User-owned product data means for holding data indicating products owned by a registered user;
A product specification data means for storing data relating to the specification of a product handled by the device;
Service requirement data holding means for holding data on requirements for realizing a service handled by the device;
User ID holding means for holding a user ID of a user who makes a recommendation in the apparatus;
The product data owned by the user indicated by the user ID held by the user ID holding means is obtained from the user-owned product data holding means, and the owned product data and the product specification held by the product specification data holding means are acquired. Data and service requirement data held in the service requirement data holding means, recommendation data generation means for creating recommendation data for recommending a product and service to a user,
Recommendation data holding means for holding the recommendation data created by the recommendation data creation means
And
[0007]
BEST MODE FOR CARRYING OUT THE INVENTION
(Example)
Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.
[0008]
FIG. 1 is a diagram illustrating a configuration example of a functional module in a product and service recommendation apparatus according to the present embodiment.
[0009]
In FIG. 1, reference numeral 101 denotes a user-owned product data holding unit that holds data indicating a product owned by each user registered in the apparatus.
[0010]
Reference numeral 102 denotes a product specification data holding unit that holds data related to the specification of a product handled by this apparatus.
[0011]
Reference numeral 103 denotes a service requirement data holding unit that holds data related to requirements for realizing a service handled by the present apparatus.
[0012]
A user ID receiving unit 104 receives a user ID of a user who makes a recommendation in the apparatus.
[0013]
105, a product owned by the user indicated by the user ID received by the user ID receiving unit 104 is obtained from the user-owned product data holding unit 101, and specification data of the owned product is obtained from the product specification data holding unit 102; A recommendation data creation unit that creates recommendation data for recommending a product and a service to a user from the service requirement data held in the service requirement data holding unit 103.
[0014]
Reference numeral 106 denotes a recommendation data output unit that outputs the recommendation data created by the recommendation data creation unit 105.
[0015]
FIG. 2 is a configuration diagram showing a configuration example of a recommendation system using a product and service recommendation device according to an embodiment of the present invention. In FIG. 1, reference numeral 201 denotes a Web browser from which a user accesses a network. Reference numeral 202 denotes a Web server that returns output page data in response to a request from the Web browser 201. Reference numeral 203 denotes the Internet, which is a communication path between the Web browser 201 and the Web server 202. Reference numeral 204 denotes a product and service recommendation apparatus according to the present embodiment, and upon receiving a user ID from the Web server 202, outputs recommendation data for the user indicated by the user ID to the Web server 202.
[0016]
In this configuration example, a user ID is embedded in a request sent from the Web browser 201 to the Web server 202 in a format called Cookie. If the request is for a page that should include recommendation data, the Web server 202 sends the user ID to the recommendation device 204. The recommendation device 204 that has received the user ID outputs the recommendation data to the Web server 202 in the HTML format. The Web server 202 inserts the received HTML data into a portion of the page where the recommended data is to be inserted, and returns the same to the Web browser 201. In this way, a recommendation can be made to the user.
[0017]
Hereinafter, the processing procedure of the product and service recommendation apparatus of the present embodiment will be described with reference to the flowchart shown in FIG.
[0018]
When the user ID data is received by the user ID receiving unit 104, an initialization process is first performed in step 301. From the user-owned product data held in the user-owned product data holding unit 101, the user-owned product data indicated by the user ID received by the user ID receiving unit 104 is extracted and stored in the work memory. Further, the recommendation candidate list provided in the work memory is initialized to be empty, and a pointer indicating the list of the service requirement data held in the service requirement data holding unit 103 is initialized so as to point to the head of the list. Then, the process proceeds to step 302.
[0019]
FIG. 4 illustrates a data structure and an example of data of the user-owned product data holding unit 101 in the present embodiment. In the figure, each row corresponds to one user-owned product data. In each data, a column 401 contains a user ID indicating a user represented by the user-owned product data. In the present embodiment, the user ID is of an integer type, but any data such as a character string may be used as long as the data is uniquely determined. A column 402 contains a list of camera IDs for identifying cameras owned by the user. A column 403 contains a list of printer IDs for identifying printers owned by the user. A column 404 contains a list of software IDs for identifying image data management software owned by the user. In the present embodiment, these IDs are of a two-character character string type, but may be arbitrary data such as integers as long as the data is uniquely determined. Further, although the list is represented by concatenation of character strings, it may be represented by an arbitrary data structure such as an array.
[0020]
Here, for example, when the user ID “1” is received by the user ID receiving unit 104, the data in the first row in FIG. 4 is stored in the work memory.
[0021]
FIG. 5 is a diagram illustrating a data structure of the service requirement data holding unit 103 and an example of data in the present embodiment. In the figure, each row corresponds to one service requirement data. In each of the data, the column 501 contains data indicating the minimum number of pixels of a camera that captures image data necessary for realizing the service as integer data in units of megapixels. In a column 502, data indicating the minimum resolution of a printer that prints image data necessary to realize the service is entered as integer data in units of dpi. In a column 503, data indicating the minimum output size of a printer that prints image data necessary to realize the service is entered as character string data indicating a paper size. In a column 504, software for capturing image data necessary for realizing the service from the camera and outputting the image data to the printer is entered as a list of software IDs for identifying the software. Indicates that one of the listed software is required. In a column 505, a service number for identifying the service is entered as integer data. Note that 506 is a description of the contents of each service, but is not included in the service requirement data in this embodiment.
[0022]
Next, in step 302, it is determined whether there is still data next to the service requirement data pointed to by the pointer in the service requirement data list. If there is, the pointer is moved to the next service requirement data, and the routine proceeds to step 303. If not, the process proceeds to step 305.
[0023]
In step 303, it is determined whether the possessed product data in the working memory satisfies the requirements of the service requirement data indicated by the pointer. If satisfied, the process proceeds to step 304. If not, return to step 302.
[0024]
Hereinafter, the determination procedure will be described.
[0025]
First, the data of each column of the service requirement data indicated by the pointer is read into the working memory. The data in column 501 is read into the integer data area referenced by y1. The data in column 502 is read into the integer data area referenced by y2. The data in column 503 is read into the character string area referenced by y3. The data 504 is read into the list area of the character string referred to by y4.
[0026]
Next, it is determined whether the user-owned product data read into the working memory satisfies these requirements. Prior to the description, the product specification data used below will be described. 6 and 7 show examples of product specification data stored in the product specification data storage unit 102. FIG. FIG. 6 is an example of the product specification data of the camera, and each row corresponds to the product specification data of one camera. In the figure, a column 601 contains a camera ID for identifying the camera. A column 602 contains data indicating the maximum number of pixels that can be captured by the camera as integer data in megapixel units. FIG. 7 is an example of product specification data of a printer, and each line corresponds to product specification data of one printer. In the figure, a column 701 contains a printer ID for identifying the camera. A column 702 contains data indicating the maximum resolution that can be output by the printer as integer data in units of dpi. In a column 703, data indicating the maximum paper size that can be output by the printer is entered as character string data.
[0027]
First, a row having the same camera ID is searched from the product specification data of the camera shown in FIG. 6 by using one ID as a key from a list of camera IDs in the column 402 of user-owned product data read into the work memory. . Then, the value of the column 602 is read into the integer data area referenced by x1. If x1> = y1, the process proceeds to the next step. If x1 <y1, a similar determination is made using another ID as a key. This is repeated, and if none of the conditions is satisfied, it is determined that the service requirement is not satisfied. Also, when the list is empty, it is determined that the service requirement is not satisfied.
[0028]
Next, using one ID as a key from a list of printer IDs in the column 403 of user-owned product data read into the working memory, a line having the same printer ID is obtained from the product specification data of the camera shown in FIG. look for. Then, the value of the column 702 is read into the integer data area referenced by x2. Also, the value of column 703 is read into the character string data area referenced by x3. If x2> = y2 and large (x3, y3) are true, the process proceeds to the next step. Here, large (x, y) is a Boolean function that returns true if the paper size indicated by x is equal to or larger than the paper size indicated by y, and returns false otherwise. Here, if any of the conditions is not satisfied, a similar determination is made using another ID as a key. This is repeated, and if none of the conditions is satisfied, it is determined that the service requirement is not satisfied. Also, when the list is empty, it is determined that the service requirement is not satisfied.
[0029]
Next, the software ID list in the user-owned product data column 404 read into the working memory is read into a character string list area referenced by x4. If the intersection of x4 and y4 is not empty, it is determined that the service requirement is satisfied. If empty, it is determined that the service requirement is not satisfied.
[0030]
The above is the details of the processing in step 303.
[0031]
In step 304, the service number of the service requirement data indicated by the pointer is added to the recommendation candidate list. Then, the process returns to step 302.
[0032]
In step 305, one service number is randomly extracted from the recommendation candidate list. An integer up to the number of service numbers present in the recommendation candidate list is generated by random numbers, and the service number at the position indicated by the number is extracted. If the recommendation candidate list is empty, the service number is set to 0. Then, the process proceeds to step 306.
[0033]
In step 306, recommendation data indicated by the service number is extracted from the HTML data for each service created in advance, and the extracted recommendation data is output, and all the processes are completed. The HTML data may be created so that the service identified by the service number becomes a document with recommended contents. For service number 0, general recommendation data is created.
[0034]
Hereinafter, an operation example will be described with reference to data examples.
[0035]
First, when the data ID “1” is received by the user ID receiving unit 104, the data in the first row is read into the working memory from the user-owned data holding unit shown in FIG. Next, a determination is made for each piece of data in the service requirement data holding unit shown in FIG. In this case, the service numbers 101, 102, and 104 are determined to satisfy the requirements. One of these three services is recommended.
[0036]
As described above, in the product and service recommendation apparatus of the present embodiment, service recommendation data for a specific user is generated using user-owned product data, product specification data, and service requirement data. Can automatically create recommendation data corresponding to a product owned by the user. As a result, a user who receives recommendation data from the service recommendation device can know a service that can be newly realized using a product owned by the user, and can effectively use the owned product.
[0037]
(Other embodiments)
In the above embodiment, a case has been described in which a service to be recommended is selected from a plurality of recommended service candidates by using random numbers. However, the present invention is not limited to this, and another selection strategy may be used.
[0038]
For example, the service may be classified using other attributes related to the user such as gender and age, or may be selected using the priority of the service derived from these attributes by a rule.
[0039]
In the above-described embodiment, a case has been described in which data for recommending a service that can be realized by a product owned by the user is created. However, the present invention is not limited to this, and other recommendation data may be created.
[0040]
Here, a description will be given of an apparatus for creating data for recommending a product to be newly purchased when a user lacks a product owned by the user when executing a specific service. The functional configuration of the functional module of the present embodiment and the configuration example of the system using the device of the present embodiment are the same as those in FIGS.
[0041]
FIG. 8 is a diagram illustrating a configuration example of a functional module in the product and service recommendation device of the present embodiment.
[0042]
Referring to FIG. 8, reference numeral 801 denotes a user-owned product data holding unit that holds data indicating a product owned by each user registered in the apparatus.
[0043]
Reference numeral 802 denotes a product specification data holding unit that holds data related to the specification of a product handled by the apparatus.
[0044]
Reference numeral 803 denotes a service requirement data holding unit that holds data relating to requirements for realizing a service handled by the present apparatus.
[0045]
A user ID receiving unit 804 receives a user ID of a user who makes a recommendation in the apparatus.
[0046]
A service number receiving unit 805 receives a service number indicating a service realized by a product recommended by the present apparatus.
[0047]
806, obtains a product owned by the user indicated by the user ID received by the user ID receiving unit 804 from the user-owned product data holding unit 801 and obtains specification data of the owned product from the product specification data holding unit 802; The service requirement data of the service indicated by the service number received by the service number receiving unit 805 is acquired from the service requirement data holding unit 803, and recommendation data for recommending to the user a product that satisfies the point that the service requirement is not satisfied is created. It is a recommendation data creation unit.
[0048]
Reference numeral 807 denotes a recommendation data output unit that outputs the recommendation data created by the recommendation data creation unit 806.
[0049]
FIG. 9 is a flowchart illustrating the processing procedure of this embodiment.
[0050]
When the user ID data is received by the user ID receiving unit 804 and the service number is received by the service number receiving unit 805, an initialization process is first performed in step 901. From the user-owned product data held in the user-owned product data holding unit 801, the user-owned product data indicated by the user ID received by the user ID receiving unit 804 is extracted and stored in the work memory. Further, the data of each column of the service requirement data of the service indicated by the service number received by the service number receiving unit 805 is read into the working memory. The data in column 501 is read into the integer data area referenced by y1. The data in column 502 is read into the integer data area referenced by y2. The data in column 503 is read into the character string area referenced by y3. The data 504 is read into the list area of the character string referred to by y4. Furthermore, the recommendation candidate list provided in the working memory is initialized to empty. Then, the process proceeds to step 902.
[0051]
In step 902, it is determined whether or not the products listed in the user-owned product data read in the working memory in step 901 satisfy the service requirements read in the working memory.
[0052]
Hereinafter, the determination procedure will be described. First, a row having the same camera ID is searched from the product specification data of the camera shown in FIG. 6 by using one ID as a key from the camera ID list in the column 402 of the user-owned product data read into the working memory. . Then, the value of the column 602 is read into the integer data area referenced by x1. If x1> = y1, the process proceeds to the next step. If x1 <y1, a similar determination is made using another ID as a key. This is repeated, and if none of the conditions is satisfied, it is determined that the service requirement is not satisfied. Also, when the list is empty, it is determined that the service requirement is not satisfied. Then, the data of the shortage requirement y1 is held in the working memory.
[0053]
Next, using one ID as a key from the list of printer IDs in the column 403 of the user-owned product data read into the working memory, a line having the same printer ID is obtained from the product specification data of the camera shown in FIG. look for. Then, the value of the column 702 is read into the integer data area referenced by x2. Also, the value of column 703 is read into the character string data area referenced by x3. If x2> = y2 and large (x3, y3) are true, the process proceeds to the next step. Here, large (x, y) is the same function as in the previous embodiment. Here, if any of the conditions is not satisfied, a similar determination is made using another ID as a key. This is repeated, and if none of the conditions is satisfied, it is determined that the service requirement is not satisfied. Also, when the list is empty, it is determined that the service requirement is not satisfied. Then, the data of y2 and y3 which are the shortage requirements are held in the working memory.
[0054]
Next, the software ID list in the user-owned product data column 404 read into the working memory is read into a character string list area referenced by x4. If the intersection of x4 and y4 is not empty, it is determined that the service requirement is satisfied. If empty, it is determined that the service requirement is not satisfied. Then, the data of y4, which is the shortage requirement, is held in the working memory.
[0055]
If the service requirements are not satisfied, the pointer that points to the list of product specification data held in the product specification data holding unit 802 is initialized to point to the top of the list, and the process proceeds to step 903. If the service requirement is satisfied, the process proceeds to step 906.
[0056]
In step 903, it is checked whether or not the list indicated by the pointer still exists. If there is, the pointer is advanced, and the process proceeds to step 904. If not, the process proceeds to step 906.
[0057]
In step 904, it is determined whether the specifications of the product specification data indicated by the pointer satisfy the shortage requirement in the working memory.
[0058]
Hereinafter, the determination method will be described. It is determined that the shortage requirement in the working memory is satisfied if all the following conditions are satisfied.
[0059]
When the data referred to by y1 exists in the work memory, if the product specification data indicated by the pointer is the product specification data of the camera, the value of the column 602 is read into the integer data area referred to by x1. Here, if x1> = y1, it is determined that the condition is satisfied. Otherwise, it is determined that the condition is not satisfied.
[0060]
When the data referred to by y2 exists in the work memory, if the product specification data indicated by the pointer is the product specification data of the printer, the value of the column 702 is read into the integer data area referred to by x2. Here, if x2> = y2, it is determined that the condition is satisfied. Otherwise, it is determined that the condition is not satisfied.
[0061]
When the data referred to by y3 exists in the work memory, if the product specification data indicated by the pointer is the product specification data of the printer, the value of the column 703 is read into the character string data area referred to by x3. Here, if large (x3, y3) is true, it is determined that the condition is satisfied. Otherwise, it is determined that the condition is not satisfied.
[0062]
If the data referred to by y4 exists in the work memory, if the product specification data indicated by the pointer is the product specification data of the software, it is determined that the software ID is satisfied when the software ID is the element of y4. Otherwise, it is determined that the condition is not satisfied.
[0063]
If the pointer points to a product that satisfies all the shortage requirements, the process proceeds to step 905. If not, the process returns to step 903.
[0064]
In step 905, the ID of the product indicated by the pointer is added to the recommendation candidate list. Then, the process returns to step 903.
[0065]
In step 906, one service number is randomly extracted from the recommendation candidate list. An integer up to the number of product IDs present in the recommendation candidate list is generated by random numbers, and the service number at the position indicated by the number is extracted. If the recommendation candidate list is empty, the product ID is a special ID that does not overlap with the others. Then, the process proceeds to step 907.
[0066]
In step 907, the recommendation data indicated by the product ID is extracted from the HTML data for each product created in advance, and the extracted recommendation data is output, and the entire process ends. The HTML data may be created to be a document recommending the product identified by the product ID. For the special ID, general recommendation data is created.
[0067]
Hereinafter, an operation example will be described with reference to data examples.
[0068]
First, when the data ID “2” is received by the user ID receiving unit 804 and the service number “102” is received by the service number receiving unit 805, the data in the second row from the user-owned data holding unit shown in FIG. Then, the data in the second row from the service requirement holding unit shown in FIG. 5 is read into the working memory. Here, when it is determined whether the service requirement is satisfied, it is determined that the data referred to by y2 and y3 is not satisfied. Next, when data that satisfies these specifications is searched for for each product specification data, the printer PA satisfies the PD, and any of these products is recommended.
[0069]
As described above, in the product and service recommendation apparatus of the present embodiment, product recommendation data for a specific user is generated using user-owned product data, product specification data, and service requirement data. Can automatically create recommendation data for a product that is missing when receiving a specific service. As a result, a user who receives recommendation data from the product recommendation device can use the product owned by the user to know a product necessary for realizing a new service, and effectively utilize the owned product to obtain a new product. Service.
[0070]
In the above embodiment, a case has been described in which a service to be recommended is selected from a plurality of recommended product candidates by using a random number. However, the present invention is not limited to this, and another selection strategy may be used.
[0071]
For example, a product with the lowest price among the candidates may be selected.
[0072]
In the above-described embodiment, a case has been described in which data for recommending only a product is created as a known service. However, the present invention is not limited to this, and data for recommending the service is also created together with the product. Is also good.
[0073]
In the above-described embodiment, a case has been described in which recommended data is created for one service. However, the present invention is not limited to this, and data recommended for a plurality of services may be created. In the above embodiment, this is realized by repeating the same processing for a plurality of services.
[0074]
In this case, when a plurality of services can be realized by one product, data for recommending the product and a plurality of services may be created, or one service is selected and the product and the service are recommended. Data may be created.
[0075]
In the above embodiment, the case where data for recommending the purchase of a product is created has been described. However, the present invention is not limited to this, and data for recommending a store where product rental or product temporary use is possible is created. You may.
[0076]
For example, data for recommending a print shop equipped with a printer capable of realizing a service together with its location may be created. In this case, it goes without saying that in selecting the print shop, a strategy of selecting a shop close to the location of the user may be used.
[0077]
In the above-described embodiment, the case where the service requirement data is represented by a table and the determination is performed on the predetermined item has been described. However, the present invention is not limited to this. Means may be sufficient.
[0078]
For example, it may be described by a constraint expression or a rule.
[0079]
In the above-described embodiment, a case has been described in which a camera, a printer, and image data processing software are used as products, and recommendation data is created for a service that prints image data captured by the camera in various forms, but is not limited thereto. Instead, it is possible to create recommendation data on any product or service.
[0080]
For example, it is possible to realize an example of recommending a service such as dubbing or editing from a medium to another medium for an audio-related product, or recommending a service for preparing a certain dish for a cookware product.
[0081]
In the above-described embodiment, a case has been described in which each unit is realized on the same general-purpose computer. However, a part of the units may be distributed to another general-purpose computer connected to a network or a device for a specific use. Also, a case has been described where the user-owned product holding unit, the product specification data holding unit, and the service requirement data holding unit hold all the data in a concentrated manner, but a part of the data may be distributed to another.
[0082]
In the above embodiment, the software program that realizes the above-described functions is operated using a computer, a CPU, or an MPU. However, the present invention is realized by a logic circuit that realizes all or a part of the functions. Needless to say.
[0083]
The present invention may be applied to a system including a plurality of devices or to an apparatus including a single device. A recording medium storing software program codes for realizing the functions of the above-described embodiments is supplied to a system or an apparatus, and a computer (or CPU or MPU) of the system or the apparatus executes the program code stored in the recording medium. Needless to say, this can also be achieved by executing reading. In this case, the program code itself read from the recording medium implements the functions of the above-described embodiment, and the recording medium on which the program code is recorded constitutes the present invention.
[0084]
As a recording medium for supplying the program code, for example, a floppy (registered trademark) disk, hard disk, optical disk, magneto-optical disk, CD-ROM, CD-R, magnetic tape, nonvolatile memory card, ROM, or the like is used. be able to.
[0085]
When the computer executes the readout program code, not only the functions of the above-described embodiments are realized, but also the OS or the like running on the computer performs the actual processing based on the instruction of the program code. It goes without saying that a case where some or all of the functions are performed and the functions of the above-described embodiments are realized by the processing is also included.
[0086]
Further, after the program code read from the recording medium is written into a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. It goes without saying that a CPU or the like provided in the board or the function expansion unit performs part or all of the actual processing, and the processing realizes the functions of the above-described embodiments.
[0087]
【The invention's effect】
As described above, according to the present invention, it is possible to automatically generate data that recommends services that can be used for products already held and other products necessary for receiving a certain service. And the service provider can easily provide an appropriate advertisement to the user. In addition, there is an effect that the user can easily obtain information for effectively utilizing the product owned by the user.
[Brief description of the drawings]
FIG. 1 is a configuration diagram of a functional block according to an embodiment of the present invention.
FIG. 2 is a configuration diagram of a recommendation system using an embodiment of the present invention.
FIG. 3 is a flowchart showing a processing procedure in the embodiment of the present invention.
FIG. 4 is a diagram showing an example of user-owned product data according to the embodiment of the present invention.
FIG. 5 is a diagram showing an example of service requirement data in the embodiment of the present invention.
FIG. 6 is a diagram showing an example of product specification data in the embodiment of the present invention.
FIG. 7 is a diagram showing another example of product specification data in the embodiment of the present invention.
FIG. 8 is a configuration diagram of a functional block according to another embodiment of the present invention.
FIG. 9 is a flowchart showing a processing procedure according to another embodiment of the present invention.
[Explanation of symbols]
101 User-owned product data holding unit
102 Product specification data storage
103 Service requirement data storage
104 User ID receiving unit
105 Recommendation data creation unit
106 recommendation data output unit

Claims (10)

User-owned product data means for holding data indicating products owned by a registered user;
A product specification data means for storing data relating to the specification of a product handled by the device;
Service requirement data holding means for holding data on requirements for realizing a service handled by the device;
User ID holding means for holding a user ID of a user who makes a recommendation in the apparatus;
The product data owned by the user indicated by the user ID held by the user ID holding means is obtained from the user-owned product data holding means, and the owned product data and the product specification held by the product specification data holding means are acquired. Data and service requirement data held in the service requirement data holding means, recommendation data generation means for creating recommendation data for recommending a product and service to a user,
A product and service recommendation apparatus, comprising: recommendation data holding means for holding recommendation data created by the recommendation data creation means. The recommendation data generation means,
User-owned product specifying means for specifying, from among the user-owned product data held by the user-owned product data holding means, product data owned by the user indicated by the user ID held by the user ID holding means,
From product specification data held in the product specification data holding means, product specification data specifying means for specifying product specification data of the product data specified by the user-owned product specifying means,
Service selection means for selecting a service that satisfies the requirements of the service requirement data with the product specification data specified by the product specification data specification means from the service requirement data held by the service requirement data holding means;
2. The service recommendation apparatus according to claim 1, further comprising a recommendation data creating unit that creates recommendation data for recommending the service selected by the service selection unit. A service holding unit for holding data indicating a specific service,
The recommendation data generation means,
Service specifying means for specifying service requirement data of a service held in the service holding means from service requirement data held in the service requirement data holding means;
User-owned product specifying means for specifying, from among the user-owned product data held by the user-owned product data holding means, product data owned by the user indicated by the user ID held by the user ID holding means,
From product specification data held in the product specification data holding means, product specification data specifying means for specifying product specification data of the product data specified by the user-owned product specifying means,
For the service requirement data specified by the service specification unit, a shortage requirement extraction unit that extracts a requirement that cannot be satisfied by the product specification data specified by the product specification data specification unit,
A product that satisfies the deficiency requirement extracted by the deficiency requirement extraction means, a deficiency requirement satisfaction product identification means that identifies the product using the product specification data held in the product specification data holding means,
2. The product recommendation apparatus according to claim 1, further comprising: recommendation data creation means for creating recommendation data for recommending the service for the product specified by the shortage requirement satisfaction product specification means. . The recommendation data generation means,
User-owned product specifying means for specifying, from among the user-owned product data held by the user-owned product data holding means, product data owned by the user indicated by the user ID held by the user ID holding means,
From product specification data held in the product specification data holding means, product specification data specifying means for specifying product specification data of the product data specified by the user-owned product specifying means,
Service selection for selecting, from among the service requirement data held in the service requirement data holding means, a service having a high degree of satisfying the requirement of the service requirement data by the product specification data specified by the product specification data specifying means; Means,
For service requirement data of the service selected by the service selection means, a shortage requirement extraction means for extracting a requirement that cannot be satisfied by the product specification data specified by the product specification data specification means,
A product that satisfies the deficiency requirement extracted by the deficiency requirement extraction means, a deficiency requirement satisfaction product identification means that identifies the product using the product specification data held in the product specification data holding means,
For the product specified by the shortage requirement satisfying product specifying means and the service selected by the service selecting means, it is configured to include recommendation data creating means for creating recommendation data for recommending the product and the service. The product and service recommendation device according to claim 1, characterized in that it is characterized by: A user-owned product data process for holding data indicating a product owned by a registered user,
A product specification data process for retaining data on product specifications handled by the device;
A service requirement data holding step for holding data relating to requirements for realizing a service handled by the device;
A user ID holding step of holding a user ID of a user who makes a recommendation in the apparatus;
Product data owned by the user indicated by the user ID held in the user ID holding step is acquired from the user-owned product data holding step, and the owned product data and the product specification held in the product specification data holding step Data and service requirement data held in the service requirement data holding step, a recommendation data generation step of creating recommendation data for recommending a product and a service to a user;
A product and service recommendation method, comprising: a recommendation data holding step of holding recommendation data created in the recommendation data creation step. The recommendation data generating step includes:
A user-owned product specifying step of specifying, from among the user-owned product data held by the user-owned product data holding step, product data owned by the user indicated by the user ID held in the user ID holding step;
From the product specification data held in the product specification data holding step, a product specification data specifying step of specifying the product specification data of the product data specified by the user-owned product specifying step,
A service selecting step of selecting a service that satisfies the requirement of the service requirement data by the product specification data specified by the product specification data specifying step from the service requirement data held in the service requirement data holding step;
6. The service recommendation method according to claim 5, further comprising a recommendation data creating step of creating recommendation data for recommending the service selected in the service selecting step. A service holding step of holding data indicating a specific service,
The recommendation data generating step includes:
A service specifying step of specifying service requirement data of the service held in the service holding step from the service requirement data held in the service requirement data holding step,
A user-owned product specifying step of specifying, from among the user-owned product data held by the user-owned product data holding step, product data owned by the user indicated by the user ID held in the user ID holding step;
From the product specification data held in the product specification data holding step, a product specification data specifying step of specifying the product specification data of the product data specified by the user-owned product specifying step,
For the service requirement data specified by the service specification process, a shortage requirement extraction process of extracting requirements that cannot be satisfied by the product specification data specified by the product specification data specification process,
A product that satisfies the deficiency requirement extracted by the deficiency requirement extraction step, a deficiency requirement satisfaction product identification step of identifying using the product specification data held in the product specification data holding step,
6. The product recommendation method according to claim 5, further comprising: a recommendation data creation step of creating recommendation data for recommending the service for the product specified in the shortage requirement satisfaction product specification step. . The recommendation data generating step includes:
A user-owned product specifying step of specifying, from among the user-owned product data held by the user-owned product data holding step, product data owned by the user indicated by the user ID held in the user ID holding step;
From the product specification data held in the product specification data holding step, a product specification data specifying step of specifying the product specification data of the product data specified by the user-owned product specifying step,
Service selection for selecting, from the service requirement data held in the service requirement data holding step, a service having a high degree of satisfying the requirement of the service requirement data by the product specification data specified in the product specification data specifying step Process and
For the service requirement data of the service selected in the service selection step, a shortage requirement extraction step of extracting a requirement that cannot be satisfied by the product specification data specified in the product specification data specification step,
A product that satisfies the deficiency requirement extracted by the deficiency requirement extraction step, a deficiency requirement satisfaction product identification step of identifying using the product specification data held in the product specification data holding step,
A recommendation data creation step of creating recommendation data for recommending the product and service for the product specified in the shortage requirement satisfaction product identification step and the service selected in the service selection step. 6. The product and service recommendation method according to claim 5, wherein the product and service are recommended. A storage medium storing a computer program for realizing the product and service recommendation method according to claim 5. A computer program for realizing the product and service recommendation method according to claim 5.

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